IDEAS home Printed from
   My bibliography  Save this article

Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India


  • Saumitra Bhaduri
  • S. Raja Sethu Durai


In a free capital mobile world with increased volatility, the need for an optimal hedge ratio and its effectiveness is warranted to design a better hedging strategy with future contracts. This study analyses four competing time series econometric models with daily data on NSE Stock Index Futures and S&P CNX Nifty Index. The effectiveness of the optimal hedge ratios is examined through the mean returns and the average variance reduction between the hedged and the unhedged positions for 1-, 5-, 10- and 20-day horizons. The results clearly show that the time-varying hedge ratio derived from the multivariate GARCH model has higher mean return and higher average variance reduction across hedged and unhedged positions. Even though not outperforming the GARCH model, the simple OLS-based strategy performs well at shorter time horizons. The potential use of this multivariate GARCH model cannot be sublined because of its estimation complexities. However, from a cost of computation point of view, one can equally consider the simple OLS strategy that performs well at the shorter time horizons.

Suggested Citation

  • Saumitra Bhaduri & S. Raja Sethu Durai, 2008. "Optimal hedge ratio and hedging effectiveness of stock index futures: evidence from India," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 1(1), pages 121-134.
  • Handle: RePEc:taf:macfem:v:1:y:2008:i:1:p:121-134
    DOI: 10.1080/17520840701859856

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. repec:arp:ijefrr:2017:p:303-314 is not listed on IDEAS
    2. Pandey, Ajay, 2008. "Hedging Effectiveness of Constant and Time Varying Hedge Ratio in Indian Stock and Commodity Futures Markets," IIMA Working Papers WP2008-06-01, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. Vishwas B. & N. Sivakumar, 2016. "Mutual Fund Portfolio Hedging Using Index Futures: An Empirical Analysis," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 5(3), pages 203-210, August.


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:macfem:v:1:y:2008:i:1:p:121-134. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.